Robotics & Machine Learning Daily News2024,Issue(Oct.7) :141-142.

New Robotics Findings from Johns Hopkins University Reported (Survey of Simulato rs for Aerial Robots: an Overview and In-depth Systematic Comparisons)

Robotics & Machine Learning Daily News2024,Issue(Oct.7) :141-142.

New Robotics Findings from Johns Hopkins University Reported (Survey of Simulato rs for Aerial Robots: an Overview and In-depth Systematic Comparisons)

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Abstract

Investigators discuss new findings in Robotics. According to news reporting from Baltimore, Maryland, by NewsRx journa lists, research stated, "Uncrewed aerial vehicle (UAV) research faces challenges with safety, scalability, costs, and ecological impact when conducting hardware testing. High-fidelity simulators offer a vital solution by replicating real-wo rld conditions to enable the development and evaluation of novel perception and control algorithms." Financial supporters for this research include National Science Foundation (NSF) , European Union's Marie Sklodowska Curie Actions FLYFLIC Grant, European Union' s H2020 AERIAL-CORE Grant, German Research Foundation (DFG). The news correspondents obtained a quote from the research from Johns Hopkins Un iversity, "However, the large number of available simulators poses a significant challenge for researchers to determine which simulator best suits their specifi c use-case, based on each simulator's limitations and customization readiness. I n this article we present an overview of 44 UAV simulators, including in-depth, systematic comparisons for 14 of the simulators."

Key words

Baltimore/Maryland/United States/Nort h and Central America/Emerging Technologies/Machine Learning/Nano-robot/Robo tics/Johns Hopkins University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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